• "Help me analyze Kweichow Moutai"
• "Is CATL worth buying?"
• "Analyze the technical aspect of 600519"
• "How is BYD's recent capital flow?"

• In-depth individual stock analysis (technical + fundamental)
• Investment decision reference
• Post-market review analysis
• Risk assessment of held positions
• Capital flow and market sentiment research and judgment

• Real-time intraday monitoring (analysis takes 1-5 minutes)
• Ultra-short-term trading (minute-level decision making)
• Non-A-share markets such as cryptocurrency and US stocks

• Sending scope: This skill only extracts parameters such as stock name/code, analysis date, analysis perspective from the conversation, and sends them to the backend API as

  symbol

  /

  trade_date

  /

  horizons

  fields. Do not send the original conversation text, do not read local files, and do not upload any other private data.
• Token security:

  TRADINGAGENTS_TOKEN

  (format

  ta-sk-*

  ) is the only credential to access the backend. Please use the minimum privilege token. If you suspect leakage, please immediately revoke and regenerate it at app.510168.xyz.
• Sensitive content prompt: Please do not paste personal account information, real positions or other sensitive content into the analysis request. This skill cannot prevent users from actively submitting these contents.
• Self-hosting: If you need full control over the data flow, you can refer to GitHub Documentation to deploy the backend by yourself, and point

  TRADINGAGENTS_API_URL

  to your self-built server.

About credential metadata: The frontmatter of this skill declares

TRADINGAGENTS_TOKEN

as

primaryEnv

in

metadata.openclaw

and lists it in

requires.env

.

• What is sent: Only the extracted stock symbol, trade date, and analysis parameters (

  symbol

  ,

  trade_date

  ,

  horizons

  ) are transmitted to the backend. The raw conversation text is never forwarded.
• Token:

  TRADINGAGENTS_TOKEN

  (pattern

  ta-sk-*

  ) is the sole credential. Use a minimal-privilege token and rotate it immediately if compromised.
• Sensitive content: Do not paste personal account data, real positions, or other sensitive information into analysis requests.
• Self-hosting: For full data sovereignty, deploy the backend yourself and set

  TRADINGAGENTS_API_URL

  to your server. See the GitHub repo.

Credential metadata: This skill's frontmatter declares

TRADINGAGENTS_TOKEN

as

primaryEnv

under

metadata.openclaw.requires.env

.

1. Log in to https://app.510168.xyz
2. Go to Settings → API Tokens to create a token
3. Configure environment variables:

export TRADINGAGENTS_TOKEN="ta-sk-your_key_here"

undefined

The script will automatically complete: submit task → poll status every 15 seconds → output JSON results after completion. In batch mode, all tasks are submitted in parallel, polled uniformly, and finally aggregated and output. The default timeout is 600 seconds.

You can adjust the behavior through environment variables:
- `POLL_INTERVAL` — polling interval in seconds (default 15)
- `POLL_TIMEOUT` — maximum waiting seconds (default 600)

**Manual step-by-step operation** (if you need to call a step separately)

All requests use `$TRADINGAGENTS_TOKEN` as the Bearer token.

1. Submit analysis task
```bash
curl -X POST "${TRADINGAGENTS_API_URL:-https://api.510168.xyz}/v1/analyze" \
  -H "Authorization: Bearer $TRADINGAGENTS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"symbol": "贵州茅台"}'

1. Query task status

curl "${TRADINGAGENTS_API_URL:-https://api.510168.xyz}/v1/jobs/{job_id}" \
  -H "Authorization: Bearer $TRADINGAGENTS_TOKEN"

1. Get complete analysis results (after the task is completed)

curl "${TRADINGAGENTS_API_URL:-https://api.510168.xyz}/v1/jobs/{job_id}/result" \
  -H "Authorization: Bearer $TRADINGAGENTS_TOKEN"

1. Identify the target: Only extract the stock name or code (and optional date/perspective) from the conversation, and do not send the original conversation text
2. Notify the user: Feedback that the task is about to be submitted, and it is expected to take 1-5 minutes
3. Execute the script: Use the Bash tool to run

   bash scripts/analyze.sh <symbol> [date] [horizons]

   (set

   run_in_background: true

   ), and the script automatically completes submission, polling and result acquisition
4. Summarize the conclusion: After the script output is completed, parse the JSON results, and show the user the decision, direction, target price, and risk points

Important: Do not manually write curl polling loops, directly use the

scripts/analyze.sh

script.

• Shanghai and Shenzhen A-shares: Chinese name (such as "BYD", "CATL") or code (

  002594.SZ

  ,

  601012.SH

  )

• Polling frequency: The interval between each polling is not less than 15 seconds
• Data robustness: If some data sources are missing, the system will conduct spillover analysis based on macro and industry logic
• Short-term mode: When entering "Analyze XX short-term", the system automatically switches to 14-day technical analysis, skips financial report data, and is faster